3D Visualization and Volume-Based Quantification of Rice Chalkiness In Vivo by Using High Resolution Micro-CT

Area of Science:

• Agricultural Science
• Biotechnology
• Imaging Technology

Background:

• Rice chalkiness is a critical factor in determining rice kernel quality.
• Traditional methods for measuring rice chalkiness are limited, relying on milled rice and 2D analysis, failing to capture 3D characteristics.
• Existing methods are not suitable for in vivo analysis of living rice seeds, hindering high-throughput screening.

Purpose of the Study:

• To develop a novel method for 3D visualization and volume-based quantification of rice chalkiness in vivo.
• To provide a high-throughput solution for analyzing rice chalkiness phenotype in living rice seeds.

Main Methods:

• Utilized X-ray microcomputed tomography (micro-CT) for 3D imaging of rice seeds.
• Developed a volume-based quantification approach to measure rice chalkiness.
• Applied the method to living rice seeds for in vivo analysis.

Main Results:

• Successfully achieved 3D visualization of rice chalkiness within living rice kernels.
• Established an accurate volume-based method for quantifying the 3D rice chalkiness index.
• Demonstrated the method's capability for high-throughput phenotyping of rice chalkiness.

Conclusions:

• The developed micro-CT method is a powerful tool for rice chalkiness measurement, particularly for high-throughput screening of living seeds.
• This technique will significantly advance research on rice chalkiness regulation and improve rice quality evaluation in practical production.